Top Research Jobs in Calgary

Conduct research and valuation analysis on offshore upstream oil and gas assets and companies. Build financial models, develop actionable investment insights, present findings to clients and prospects, participate in industry events and meetings, and demonstrate Enverus software and proprietary datasets. Collaborate with financial analysts, engineers, geologists, data scientists, and developers while managing project timelines and mentoring team members.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.

Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.

Conduct clinical site qualification, initiation, monitoring, and termination visits; maintain site relationships; protect participants; ensure protocol, GCP, SOP, and regulatory compliance; support recruitment; evaluate data quality, site performance, drug accountability, and regulatory documentation. The role requires independent problem-solving, effective communication, clinical research expertise, and proficiency with CTMS, EDMS, and Microsoft Office.

Own the production deployment of neural and generative models for Waabi’s multi-sensor simulator. Responsibilities include optimizing models with compilation, quantization, mixed precision, CUDA, and custom kernels; building numerical parity benchmarks; developing model export, versioning, registry, and build tooling; collaborating with research teams; and managing GPU workloads in cloud environments.

Build, update, and review three-statement financial models for publicly traded companies. Develop sector expertise, improve modeling standards and dashboards, document best practices, conduct company research, support client service, contribute to product improvements, and train new team members. The role requires strong financial modeling, Excel, research, accounting, deadline management, and communication skills.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Monitors clinical studies at investigative sites or remotely, ensuring trials comply with protocols, SOPs, ICH-GCP, and applicable regulations. Reviews study progress, documentation, and reporting. Requires a scientific or health-related bachelor’s degree or equivalent experience, clinical monitoring experience, knowledge of clinical trial regulations, and willingness to travel extensively. Oncology monitoring experience is preferred. Bilingual English and French proficiency is required for the applicable role.

Review algorithm-generated trades across managed portfolios, resolve abnormal orders, and identify operational bottlenecks in managed accounts. Support daily portfolio management and trading workflows while collaborating with trading, investment operations, product, and engineering teams. Help improve trade execution processes, portfolio tracking, and operational risk communication.

Develop and scale human iPSC-derived neuronal and rodent primary cell models for neurotechnology screening. Responsibilities include expanding and QCing iPSC lines, producing neuronal banks, maintaining long-term cultures, developing biochemical, imaging, and activity assays, troubleshooting and optimizing high-throughput workflows, documenting deviations, and maintaining audit-ready records. The role requires close cross-functional collaboration, precise experimental execution, and intermittent weekend laboratory work.

Lead the technical direction and hands-on development of ML and operations research systems powering delivery dispatch. Build pricing, quote selection, forecasting, routing, batching, fleet recommendation, LLM, optimization, evaluation, and MLOps capabilities. Translate operational constraints into reliable models and solver formulations, establish production ML standards, and mentor engineers. The role partners with Product and leadership to deliver measurable improvements in revenue, margin, utilization, conversion, and delivery reliability.

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

Leads translational and non-interventional biomarker studies in immunology, including protocol development, target validation, mechanism-of-action research, data analysis, and quality assurance. Provides scientific and strategic leadership across preclinical and clinical development, collaborates with internal and external research partners, supports regulatory and clinical documentation, and supervises research scientists. The role bridges preclinical research and early clinical development to inform therapeutic-area strategies and development decisions.

Conducts remote and onsite clinical trial monitoring visits, including qualification, initiation, interim, and close-out visits. Ensures protocol, ICH GCP, FDA, regulatory, and sponsor SOP compliance; reviews source documents, CRF data, regulatory binders, and trial documentation. Manages site issues, adverse event reporting, investigational product accountability, recruitment oversight, audit preparation, and monitoring reports. Collaborates with sponsors, sites, CRAs, project managers, data management, and cross-functional teams while mentoring CRAs and supporting CTMS activities.

Conducts remote and onsite clinical trial monitoring visits, including site qualification, initiation, interim, and close-out visits. Ensures protocol, ICH GCP, FDA, and SOP compliance; verifies source data, manages regulatory documentation, tracks investigational products, supports adverse-event reporting, and resolves site issues. The role also assists with monitoring plans, budgets, training, audits, sponsor communication, CTMS activities, CRA mentoring, and cross-functional coordination.

Leads consumer research projects from client alignment and study design through data analysis, quality control, reporting, and presentations. Develops questionnaires, interprets complex datasets, synthesizes actionable insights, supports proposals, and collaborates with internal teams and stakeholders to deliver high-quality research on schedule.

Conducts clinical trial site qualification, initiation, monitoring, and termination visits. Maintains site relationships, resolves issues, supports patient recruitment, protects participant safety, and ensures compliance with protocols, SOPs, GCP, and regulations. Reviews data quality, drug accountability, site performance, and regulatory documentation while generating visit reports and verifying study records. Requires at least 18 months of direct onsite CRA monitoring experience and fluency in English and French.

Lead the design and deployment of large-scale bioinformatics and omics pipelines spanning genomics, transcriptomics, and proteomics. Integrate multimodal biological data with machine learning, develop reproducible analysis frameworks, benchmark predictive models, and collaborate with wet-lab scientists to guide molecular engineering and experimental campaigns. Contribute novel computational biology algorithms, research roadmaps, and scientific leadership.

Conduct executive, industry, market, and company research to support leadership searches. Identify qualified executives, analyze competitive landscapes using LLMs, design AI prompts, develop research strategies and reports, maintain candidate and company database quality, and provide strategic insights across industries. The role requires managing multiple projects, synthesizing ambiguous information, collaborating with search professionals, and communicating findings clearly.

Build and manage relationships with investment banks, equity research analysts, institutional investors, and other capital markets participants. Develop analyst engagement programs, track sector research, provide market intelligence, and position Higgsfield as a trusted source on Creative AI. Partner with leadership, communications, and finance to develop market frameworks, investment theses, and executive narratives that generate measurable research and investor outcomes.

Conduct research on AI accelerator architectures and semiconductor supply chains to assess power, cooling, and infrastructure implications. Monitor data-center build-outs and industry disclosures, synthesize findings into written briefs and competitive-intelligence products, and ground analysis using Enverus energy datasets.

Conduct primary and secondary research on power demand from data centers, monitor regulatory filings and interconnection queues, build and audit financial Excel models, synthesize findings into concise briefs and data tables, support senior analysts on large projects, and use Enverus proprietary datasets (PRISM) to ground research.

Designs benchmarks, reinforcement learning environments, evaluation methodologies, scoring frameworks, and reproducible evaluation architectures for frontier models. Builds and ships production code, maintains data pipelines, analyzes results, and collaborates with research scientists, solutions architects, and ML engineers. The role combines independent research methodology with hands-on engineering across agentic systems, model evaluation, and RL infrastructure.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.

Leads immunology clinical research from target prioritization and preclinical translation through first-in-disease programs. Partners with discovery, translational medicine, clinical development, and business development teams to evaluate assets, shape clinical strategies, design early-phase studies, define biomarkers and patient populations, and support go/no-go decisions. Serves as a hands-on clinical subject matter expert in autoimmune and inflammatory diseases, representing the organization with scientific leaders, investigators, regulators, and internal stakeholders.